Key Strengths

Demonstrated proficiency in various AI/ML domains including NLP, Computer Vision, and predictive modeling through diverse personal projects.
Strong practical experience with Python and Jupyter Notebook for AI development.
Experience with Generative AI (LLM, Google Gemini AI) and deep learning frameworks (TensorFlow, CNN, LSTM).
Ability to develop end-to-end AI applications, including data extraction, model building, and deployment (Streamlit, Selenium).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's portfolio showcases a strong interest in AI/ML with a wide range of personal projects across different domains (e.g., HR tech, healthcare, finance, agriculture, retail). This diversity suggests adaptability and a broad curiosity, which can be a good cultural fit for an innovative AI team. The projects align well with an 'AI Developer' role, demonstrating practical application of relevant technologies. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and enterprise-level cultural fit.

Soft Skills & Operational Fit

The candidate's project descriptions indicate a problem-solving mindset and an ability to apply AI solutions to real-world problems (e.g., resume analysis, sales forecasting, disease classification). The focus on personal projects suggests self-motivation and initiative. However, without psychometric or English test scores, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.

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Gopinath Asokan

AI Developer

https://www.opentalent.in/gopinath-asokan-1

AI Developer | IIT | Generative AI, LLM, RAG | ML, DL, NLP, CV | AWS, Azure

Bengaluru, Karnataka, IndiaMember since June 12, 2026

https://www.opentalent.in/gopinath-asokan-1

Top Skills

Jupyter NotebookPythonHTML

Skills

Jupyter NotebookPythonHTML

Projects

Healthcare-Data-Analysis-using-PowerBI

November 3, 2024 – November 5, 2024

Created an interactive Power BI dashboard to analyze hospital visitor data, using DAX for insights into patient demographics and service usage to enhance efficiency and satisfaction. The project features data modeling, various data sources, ETL processes, KPIs, and interactive visuals for effective data transformation and improved patient care.

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YouTube-Video-Transcript-Summarizer-with-Generative-AI

September 7, 2024 – February 7, 2025

Developed an LLM application using the YouTube Transcript API and Google Gemini AI to generate clear summaries of YouTube videos. It extracts transcripts in various languages and uses AI to provide actionable insights. Built with Streamlit, the app features an intuitive interface for quick and efficient video summarization, boosting productivity.

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Apple-Inspired-AI-Calculator-using-Computer-Vision-and-Generative-AI

August 13, 2024 – January 25, 2025

Engineered an AI model utilizing advanced Computer Vision and Google Generative AI to solve math problems by recognizing hand gestures, offering real-time, accurate solutions through an intuitive interface inspired by Apple Tablet calculators.

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Financial-Document-Classification-using-Deep-Learning

June 8, 2024 – July 19, 2024

Engineered an advanced deep learning model to automate the classification of financial documents, including Balance Sheets, Cash Flow and Income Statements using Bidirectional LSTM and TensorFlow. The model achieved an impressive accuracy of 96.2%, enhancing efficiency and reducing errors in document management for the finance and banking sectors.

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Bird-Sound-Classification-using-Deep-Learning

May 17, 2024 – July 18, 2024

Engineered a robust deep learning model using Convolutional Neural Networks and TensorFlow to classify 114 bird species based on audio recordings. Model achieved an impressive accuracy of 93.4%, providing valuable insights for conservationists and ecologists in the wildlife & ecological research sectors.

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Potato-Disease-Classification-using-Deep-Learning

May 2, 2024 – May 22, 2024

Developed a deep learning model using TensorFlow and Convolutional Neural Networks to classify disease images of potato plants, including early blight, late blight, and overall plant health in agriculture. Model achieved an impressive accuracy of 97.8%, empowering farmers with precise treatment applications to enhance crop yield and quality.

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Rental-Property-Price-Prediction-using-Machine-Learning

December 28, 2023 – April 26, 2025

Empower your real estate decisions with our data-driven model, delivering precise rental predictions for landlords and comprehensive insights for tenants in a dynamic market landscape.

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Retail-Sales-Analysis-and-Forecast-using-Machine-Learning

October 30, 2023 – May 9, 2024

Build a machine learning model to predict weekly sales with 97.4% accuracy. Integrated Exploratory Data Analysis tools to analyze trends, patterns, and actionable insights. The solution enables detailed sales comparisons, evaluates feature impacts and ranges, and identifies top performers, greatly enhancing decision-making in the retail industries.

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AI-Resume-Analyzer-and-LinkedIn-Scraper-using-Generative-AI

September 24, 2023 – March 8, 2025

Developed an AI application using LLM to analyze user resumes and provided the summarization, strengths, weaknesses, suggestions, suitable job titles, and also scraping job details from LinkedIn using Selenium. This application reduces time by 30% and helps candidates tailor their resumes effectively.

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Youtube-Data-Harvesting-and-Warehousing

July 5, 2023 – May 7, 2024

This repository hosts a project that enables efficient YouTube data extraction, storage, and analysis. It leverages SQL, MongoDB, and Streamlit to develop a user-friendly application for collecting and visualizing data from YouTube channels.

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Key Strengths

Demonstrated proficiency in various AI/ML domains including NLP, Computer Vision, and predictive modeling through diverse personal projects.
Strong practical experience with Python and Jupyter Notebook for AI development.
Experience with Generative AI (LLM, Google Gemini AI) and deep learning frameworks (TensorFlow, CNN, LSTM).
Ability to develop end-to-end AI applications, including data extraction, model building, and deployment (Streamlit, Selenium).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit